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Live page fetch with retrieve, quote, cite and graph analysis. The result identifies where its evidence came from.
The Novaverb GEO checker fetches one public page and reports observable retrieve, quote, cite and graph signals from its initial HTML, robots.txt and llms.txt, as direct check counts with no composite score.
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Submit a public URL, domain, or keyword. Novaverb will show only the evidence this tool can actually retrieve or measure.
A GEO checker inspects a web page for the signals that help answer engines retrieve, quote and attribute it. The Novaverb GEO Checker fetches one public page, reads its initial HTML plus the site's robots.txt and llms.txt files, and reports each observable check under Retrieve, Quote, Cite and Graph.
The GEO checker checks four groups of page signals. Retrieve covers the response status, HTML, noindex, canonical, robots.txt, sitemap and llms.txt. Quote covers word count, headings, question headings, the opening passage, lists and tables. Cite covers JSON-LD, author and date signals and authority links. Graph covers links, entity schema, breadcrumbs and language.
The GEO checker is for content teams preparing an article to be quoted in generated answers, for SEO specialists auditing a page before and after a rewrite, for developers confirming that content and structured data exist in the initial HTML, and for site owners who want to see which attribution signals a page lacks.
Use a GEO checker before publishing or rewriting a page, because a page that cannot be fetched, parsed or attributed gives an answer engine little to work with, however good the writing is. The check exposes blockers such as a noindex directive, script-only content or missing structured data while they are still cheap to fix.
The GEO checker fetches the initial HTML of the page over HTTPS and inspects observable retrieval, answer, attribution and topic-structure signals. The root robots.txt and llms.txt files are captured as separate evidence when available. Passed and measured counts are then reported for each group, with no composite score and no citation claim.
Enter one public page address into the GEO checker, since retrievability is a property of a single page. A bare domain, a full URL with www, a path or a query string are all accepted and normalized. Hosts that are not publicly routable are refused, and a page unreachable over HTTPS returns an unmeasured state.
yourdomain.com/guideAny address form works - a content page you want AI engines to retrieve and cite. http or https, with or without www, a bare domain or a full path - we normalize it for you.https://www.yourdomain.com/answerA specific answer page is ideal; we read its entity and answer structure.Expecting a single 'AI score'We report direct check counts and evidence by group, never one opaque number.A GEO checker report contains the measured URL with a count of checks passed out of checks measured, a panel of extracted evidence such as response status, word count and heading counts, the Retrieve, Quote, Cite and Graph groups with pass, review and gap counts, a table of measured page facts, and a priority queue of fixes.
Read a GEO checker result group by group instead of looking for a single score. Pass means the signal was observed, review marks an opportunity and not a penalty, and gap marks a missing signal. Failing signals come first in the priority queue, and a redirect notice shows when the URL redirected before measurement.
Generative Engine Optimization (GEO) is the work of making a page easy for answer engines to retrieve, understand, quote and attribute. NovaBrain models that journey as four decisions: Retrieve, Quote, Cite and Graph.
The checks describe observable page facts, not a ranking or citation promise. They show which evidence is present, what needs review and where a clear gap exists. The full Novaverb workspace can extend this single-page preview into a crawl, compare changes over time, connect evidence to tasks and track citation outcomes only when that evidence is available.
SEO focuses on search visibility, AEO on direct answers, and GEO on generated answers that combine and cite sources. The same fundamentals support all three: clear answers, durable structure, accurate schema, trustworthy sources and useful internal links.
This checker reads the page's HTML plus its /llms.txt and /robots.txt to report retrieve, quote, cite and graph checks. It does not query AI engines or prove a specific citation.
The GEO checker gets its data from a live page fetch with retrieve, quote, cite and graph analysis. Everything in the report comes from the initial HTML and response headers of the submitted page, plus probes of the site's robots.txt, sitemap and llms.txt. No answer engine is queried during the check.
The GEO checker does not tell you whether any answer engine retrieved, quoted or cited the page. The check reads the initial HTML plus /llms.txt and /robots.txt, so content or structured data rendered only by JavaScript can be reported as missing. Page-level checks are reported, never a specific citation.
A GEO checker result proves which observable signals were present in the page's initial HTML and root files at the moment of the fetch. Use of the page by an answer engine is not proven, and passed checks are not a visibility score. A citation is a separate observed outcome that the check never claims.
Live page fetch with retrieve, quote, cite and graph analysis. The result identifies where its evidence came from.
This reads the page's initial HTML plus /llms.txt and /robots.txt. It reports GEO/AEO page-level checks; it does not query AI engines or prove a specific citation.
Use the finding to verify a problem, then connect a workspace when you need history, monitoring, or site-wide analysis.
The GEO checker applies the schema.org structured data vocabulary to read declared entity and content types, and RFC 9309, the Robots Exclusion Protocol, to read captured robots.txt directives. The llms.txt file is captured when present and labeled as a proposal, not as a standard or a permission system.
Reads declared entity and content types as one observable page signal.
Read the specificationCaptures /llms.txt when present and labels it as a proposal, not a universal permission standard.
Read the specificationReads captured robots.txt directives without claiming how a third party acted on them.
Read the specificationVerify a GEO checker result by viewing the page source, not the rendered page, and searching for the JSON-LD block, the canonical link, the robots meta tag and the heading tags the report counted. Then open /robots.txt and /llms.txt on the same host in a browser and confirm what each returns.
A typical GEO checker finding is a page whose text is drawn by scripts. The Quote group shows a gap for content-rich HTML and a low word count, the Cite group shows that no JSON-LD was found, and the priority queue lists those failing signals first, although a visitor's browser displays the full article.
The GEO checker is free and runs without an account on any public page. An account is needed for work a single fetch cannot do: extending the single-page preview into a crawl of the site, comparing changes over time, connecting evidence to tasks and keeping the results as saved evidence.
A Novaverb workspace adds GEO & AEO Readiness to the GEO checker. GEO & AEO Readiness reads the captured pages of a crawl for structured data, entity declarations and question-and-answer structure, resolves each number to the URLs that produced it, and keeps citation observations from checked external answers separate from on-page readiness.
A free GEO checker is not enough when the question covers a whole site or an outcome over time. A single fetch cannot show which page templates lack answer schema across the site, whether a fix survived the next release, or whether citations were later observed, which takes recurring measurement.
After running the GEO checker, first fix failing Retrieve signals, since edits elsewhere matter little on a page that cannot be fetched. Then add accurate structured data and a clear opening answer. Next add author and date signals, and finally run the check again to confirm which signals now pass.
The Robots.txt Checker, the Schema Markup Generator and the Meta Tag Checker pair with the GEO checker. The Robots.txt Checker tests the directives and crawler access rules that the Retrieve group depends on. The Schema Markup Generator builds JSON-LD for FAQ, Article and Organization types. The Meta Tag Checker reads the title, meta description and Open Graph tags.
People using the GEO checker ask what Retrieve, Quote, Cite and Graph mean, whether the check proves that an answer engine cites a page, what /llms.txt is, how GEO differs from traditional SEO, why a page is hard to retrieve, and whether passed checks secure a citation, which they do not.
It reads page HTML plus /llms.txt and /robots.txt and reports observable checks across Retrieve, Quote, Cite and Graph. It shows passed, review and gap counts without inventing a visibility score.
Retrieve is whether engines can access the page, Quote is whether text is cleanly extractable, Cite is whether authorship and sources support attribution, and Graph is whether structured entities and schema make the content machine-understandable.
No. It measures readiness signals in your page and configuration, not live engine behavior. It does not query the AI engines themselves, so it cannot prove any specific citation actually happened.
/llms.txt is a proposed file signaling how AI systems may use your content. The checker reads it, alongside /robots.txt, to assess whether your page invites and permits generative engines to retrieve and reuse it.
Review each failed or warning check. Use accurate structured data, clear self-contained answers, crawlable HTML and discovery rules that match the access you intend to permit.
Traditional SEO optimizes for ranking positions in search results. GEO, generative engine optimization, optimizes for being retrieved, quoted and cited inside AI-generated answers. GEO emphasizes extractable, attributable, entity-rich content over link position.
Answer engine optimization improves the odds your content is surfaced within AI answers where users increasingly stop before clicking. Readiness signals make your page easier to retrieve, quote and attribute, protecting visibility as search shifts.
Common causes include content rendered only by scripts, blocked crawlers in /robots.txt, thin HTML, or missing structure. The checker flags weak signals so you can expose clean, permitted, machine-readable content instead.
No. They only confirm that the measured page-level signals were present. A citation is a separate observed outcome, which this checker does not query or claim.
Quote readiness is whether an engine can cleanly extract self-contained text to reuse. Cite readiness is whether clear authorship, dates and sources let an engine attribute that text to you. Both together support trustworthy AI answers.